Radial Basis Function Network
Design of Hanman Entropy Network from Radial Basis Function Network
... the radial basis function network ...neural network named as Hanman Entropy Network (HEN) is developed from RBFN based on the Information set theory that deals with the ...
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Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network
... Approximating the Bayesian decision boundary for channel equalisation using subset Radial Basis Function network E.S CHNG1, B.. for Artificial Brain.[r] ...
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Application of Radial Basis Function Network for Content Based Image Retrieval
... The Radial Basis Function Network Neural Network is used in this approach for classifying the Images and the Image retrieval is designed by using the Absolute ...
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Abstract: A radial basis function network (RBFN) method is proposed to reconstruct daily Sea
... A radial basis function network (RBFN) method is proposed to reconstruct daily Sea surface temperatures (SSTs) with limited SST ...different basis functions and clustering algorithms ...
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Face Recognition by Radial Basis Function Network (RBFN)
... on Radial basis function network has been used in this ...neural network for classification of face images as a classifier in the context of face recognition ...
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Nonlinear Image Restoration Using a Radial Basis Function Network
... the radial basis function network (RBFN), has received considerable attention ...smooth function that achieves a good tradeo ff be- tween fidelity to the data and ...of basis ...
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Learning enhancement of radial basis function network with particle swarm optimization
... RBF Network for pattern recognition and classification for diagnosis of diabetes mellitus and compare the results with MLP Network and logistic ...RBF Network has a better performance than other ...
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Symmetric Radial Basis Function Network Equaliser
... The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric struc- ture of the optimal Bayesian ...
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... Abstract. An orthogonal forward selection (OFS) algorithm based on the leave- one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes. This ...
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Radial basis function network based MPPT for photovoltaic system during shading condition
... Comparison of P&O and RBF Controller (Variable temperature and variable irradiation). The results from Table 3 have shown the P&O and RBF controller in two different stages. Which, the inputs for these two ...
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Classification of breast cancer microarray data using radial basis function network
... Ng, E. Y. K., Peh, Y. C., Fok, S. C., Ng, F. C., and Sim, L. S. J. (2002). Early Diagnosis of Breast Cancer Using Artificial Neural Network with Thermal Images. Proceedings of Kuala Lumpur International Conference ...
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Radial Basis Function Network Assisted Wide Band Beamforming
... RBF network using ’space translation’ are determined by F 1 s i , 1 ≤ i ≤ n fb,s , where s i represents the possible transmitted symbol sequences of length Q ( τ + ...
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Symmetric Radial Basis Function Network Equaliser
... Conclusions ❏ Classical channel equalisation has been revisited ✰ Inherently odd symmetry property of optimal Bayesian equaliser has been highlighted ❏ A novel symmetric radial basis fun[r] ...
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The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... the radial basis function network is an artificial neural network that uses radial basis functions as activation ...neural network (ANN) is inspired by the ...
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Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)
... Neural Network architecture is applied to the problem of Direction of Arrival (DOA) and state of polarization estimation using a uniform circular cross and tri-crossed-dipoles antenna ...layer Radial ...
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Radial basis function neural network for software engineering measures A survey
... of radial basis Function network forms with the three layers, those are input layer, hidden layer and output ...the network. Next, hidden layer is formed with the Gaussian ...
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Image Segmentation using Classification of Radial Basis Function of Neural Network in Brain Tumor Detection
... networks. Radial basis function network is used for a wide range of applications primarily because it can approximate any regular function and its training speed is faster than ...
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A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... Radial Basis Function Network (RBFN) is especial type of feed forward neural network with an input layer used as sensing unit containing n neurons through which input vector x e Rn is ...
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Design of radial basis function neural network controller for BLDC motor control system
... on Radial Basis Function(RBF) has been proposed in this ...neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width modulation (PWM) ...
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Radial Basis Function Neural Networks : A Review
... a radial basis function neural network (RBFNN) to accurately recognize and predict the onset of Parkinson’s disease tremors in human ...new radial basis function neural ...
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